International Business Machines Corporation
SUBGRAPH GUIDED KNOWLEDGE GRAPH QUESTION GENERATION

Abstract:

A method, a computer program product, and a system for subgraph guided knowledge graph question generation. The method includes inputting a knowledge graph subgraph and a target answer into a long short-term memory encoder. The method also includes producing embeddings relating to the nodes and the edges. The method includes indicating the embeddings associated with the target answer. The method includes applying a graph neural network encoder computation in an iterative manner to the embeddings, with updated embeddings produced by the GNN encoder acting as initial values that are applied to the GNN encoder for a next iteration, until final state embeddings are produced. The method includes computing a graph-level embedding based on the final state embeddings and computing, by a recurrent neural network decoder, a question relating to the target answer and the knowledge graph subgraph using the graph-level embedding.